Rearrangement of Coordinate Selection for Triangle Features Improvement in Digit Recognition

Authors

  • S. A. Miswan Computational Intelligence and Technologies Lab (CIT LAB), Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, Durian Tunggal, 76100 Melaka MALAYSIA.
  • M. S. Azmi Computational Intelligence and Technologies Lab (CIT LAB), Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, Durian Tunggal, 76100 Melaka MALAYSIA.
  • N. A. Arbain Computational Intelligence and Technologies Lab (CIT LAB), Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, Durian Tunggal, 76100 Melaka MALAYSIA.
  • A. Tahir Computational Intelligence and Technologies Lab (CIT LAB), Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, Durian Tunggal, 76100 Melaka MALAYSIA. Department of Information & Communication Technology, Politeknik Ungku Omar, Jalan Raja Musa Mahadi, 31400 Ipoh, Perak, MALAYSIA.
  • A. R. Radzid Computational Intelligence and Technologies Lab (CIT LAB), Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, Durian Tunggal, 76100 Melaka MALAYSIA.

Keywords:

Digit Recognition, Triangle Feature,

Abstract

Triangle geometry feature demonstrated as useful properties in classifying the image. This feature has been implemented in numerous recognition field such as biometric area, security area, medical area, geological area, inspection area and digit recognition area. This study is focusing on improving triangle features in digit recognition. Commonly, triangle features are explored by determining three points of triangle shape which represent as A, B and C to extract useful features in digit recognition. There is possibilities triangle shape cannot be formed when chosen coordinate are in line. Thus, a prior study has proposed an improvement on triangle selection point technique by determining the position of coordinate A, B and C use gradient value to identify the triangle shape can be modelled or vice versa. The suggested improvement is based on the dominant distribution which only covers certain areas of an image. Hence, a method named Triangle Point using Three Block (Tp3B) was proposed in this study. The proposed method proposes the arrangement of selection coordinate point based on three different blocks which where all coordinates points of an image were covered. Experiments have developed over image digit dataset of IFCHDB, HODA, MNIST and BANGLA which contains testing and train data of each. Features classification accuracy tested using supervised machine learning (SML) which is Support Vector Machine (SVM). Experimental results show, the proposed technique gives a promising result for dataset HODA and MNIST.

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Published

2018-07-05

How to Cite

Miswan, S. A., Azmi, M. S., Arbain, N. A., Tahir, A., & Radzid, A. R. (2018). Rearrangement of Coordinate Selection for Triangle Features Improvement in Digit Recognition. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 10(2-7), 115–119. Retrieved from https://jtec.utem.edu.my/jtec/article/view/4437

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